AI summary · arXiv: 2611.02863v1 · physics.geo-ph

Original Insights Into Rock Slope Damage Processes Until Collapse From Passive Seismic Monitoring

P. Bottelin (ISTerre, SAGE Ing{é}nierie), L. Baillet (ISTerre)
Original paper Submitted to arXiv on 02 Nov. 2026 Geophysical Research Letters, 2024, 51 (13) License: not stated (all rights reserved) Also in: fr

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The essentials

A decade of passive seismic monitoring at La Praz revealed changes in rock-mass stiffness and damage phases before the slope collapsed.

Based on the abstract only: check the details in the original paper.

Question

How can passive seismic monitoring reveal damage processes and changes in the internal condition of an unstable rock slope before collapse? The study also examines how seismic observations relate to surface deformation and possible external triggers.

Method

The authors monitored the approximately 14,000 m³ La Praz rock slope in the French Alps for more than 10 years. They analyzed variations in fundamental resonance frequency alongside slope deformation, including the six months before collapse.

Findings

  • Result The slope’s fundamental resonance frequency decreased by 24% during the six months before collapse, indicating reduced overall rock-mass stiffness.
    See the passage in the paper
    During the six months preceding collapse, we observed a pronounced 24% decrease in the slope's fundamental resonance frequency ((f\_0)), indicating a reduction in the overall stiffness of the rock mass.
  • Authors’ interpretation Joint analysis of resonance-frequency changes and deformation indicated alternating phases of brittle damage and more ductile behavior, potentially involving sliding.
    See the passage in the paper
    Joint analysis of (f\_0) variations and slope deformation revealed alternating phases dominated by sudden brittle damage and more ductile behavior, potentially involving sliding.
  • Result Seismic monitoring detected damage processes that surface deformation measurements alone could not clearly identify or detect.
    See the passage in the paper
    Seismic monitoring identified damage processes that were either ambiguous or undetectable through surface deformation measurements alone, while also highlighting critical periods of intensified damage.
  • Result Some periods of intensified damage coincided with identifiable external triggers, but others had no clear link to external forcing.
    See the passage in the paper
    Although some of these periods coincided with identifiable external triggers, such as intense rainfall events, others could not be clearly linked to external forcing.

Limitations

  • The abstract does not establish the cause of damage periods that could not be linked to external forcing.
    See the passage in the paper
    Although some of these periods coincided with identifiable external triggers, such as intense rainfall events, others could not be clearly linked to external forcing.
  • The evidence comes from monitoring a single unstable slope, so the abstract does not establish how broadly the findings generalize.

Why it matters

The authors argue that passive seismic monitoring can reveal the internal structural condition of unstable slopes at depth. Combining seismic tracking of stiffness with surface deformation measurements could improve the identification and characterization of slopes undergoing progressive damage.

Written by AI from the paper. Passages are checked word for word against the text we analysed; the rest may contain errors.

AI-generated keywords: passive seismic monitoring rock-slope instability resonance frequency progressive damage slope failure

Read further

  • Comprehensive Summary
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  • Original abstract
The paper examines whether passive seismic monitoring can reveal damage developing within an unstable rock slope, including changes that surface deformation measurements may miss. The authors studied the La Praz slope in the French Alps, an unstable rock mass of approximately 14,000 cubic metres that eventually collapsed. Their monitoring record spanned more than ten years. The study asked whether changes in the slope’s seismic response could track its evolving internal condition and provide warning of progressive damage before failure. The researchers combined passive seismic observations with measurements of slope deformation. They focused on the fundamental resonance frequency, denoted f₀, which reflects the overall stiffness of the rock mass. A decrease in this frequency can indicate reduced stiffness. During the six months before collapse, the slope’s fundamental resonance frequency fell by 24%. The authors interpret this decline as evidence that the rock mass became less stiff as failure approached. Comparing the frequency record with deformation measurements also revealed alternating phases of behavior: some were dominated by sudden, brittle damage, while others showed more ductile behavior, potentially involving sliding. The slope’s evolution therefore did not follow a single, uniform pattern. The seismic record also revealed damage processes that were ambiguous or undetectable from surface deformation measurements alone, and highlighted periods of intensified damage. Some coincided with identifiable external triggers, including intense rainfall, while others could not be clearly linked to external forcing. The authors conclude that passive seismic monitoring could help assess the internal structural condition of unstable rock slopes at depth. Tracking resonance-frequency changes may complement surface deformation measurements by revealing changes in stiffness and damage that are not visible at the surface. Combining these methods could improve the identification and characterization of slopes undergoing progressive damage and contribute to more effective monitoring systems. This summary is based only on the paper’s title and abstract; the full text was unavailable. The abstract reports the site, monitoring duration, approximate slope volume, 24% frequency decrease, and broad interpretations, but does not provide enough information to evaluate the methods, uncertainty, alternative explanations, or the findings’ generalizability. The results demonstrate the approach’s promise at La Praz, but do not establish that the same seismic indicators can reliably predict failure at all unstable slopes.

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